The humongous generation of data in the healthcare industry has led to the advancement in effective data management. This has also pushed researchers to develop and integrate existing technologies with current healthcare system. In addition, tools are required to scan and analyze the high volume of data generated. data generated. This led to the introduction of technologies such as big data, multi-model data management, and artificial intelligence (AI) in healthcare industry.
According to the market intelligence published by BIS Research, the AI in healthcare market is expected to witness a growth of 24.40% during the forecast period, 2021-2030. Artificial intelligence in healthcare can be used for various applications. Some of the most common areas where AI can be used are mentioned as follows:
Medical Imaging and Diagnosis: The use of AI in medical imagining has enabled better detection and higher automation in in terms of diagnostics. It can help identify high risk patients by studying their diagnostics. AI and its integration with almost every type of imaging modality, including X-ray, angiography, mammography, ultrasound, positron emission tomography (PET), computed tomography (CT), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), and multimodality imaging systems helps in accurate and early diagnostics.
Telemedicine: The scope of telemedicine has witnessed a surge due to the global health pandemic caused by COVID-19. The providers of telemedicine are fast adopting AI in their platforms for better patient engagement and enhanced patient care. For instance, Ada Health, which offers an AI-enabled telemedicine app, uses AI to deliver personalized diagnosis support to patients.
Robot-Assisted Surgery: Artificial intelligence-enabled surgical robots are of great aid to the physicians. They enable performing several types of complex procedures. Also, provide more control, flexibility, and precision as compared to traditional technologies. Increasing amount of investment in research and development and rapid technological advancements is causing more and more advancement in this field. In addition, extensive applications of robot-assisted surgery in critical surgeries have increased the use of artificial intelligence in robot-assisted surgery.
Drug Discover and Clinical Trials:
Earlier, researching and formulating a drug was a tedious and cumbersome process. However, with the introduction of AI the entire framework of formulating a drug has changed drastically. The use of AI can help integrate several steps of drug discovery. Some of these steps, include processes like characterization, biomarker research, and clinical trials. Some of the major benefits of using AI in drug discovery include virtual modelling of drug compounds, virtual modelling for repurposing of drugs, and easy and remote monitoring of clinical trials, among others.
Virtual Assistance: Virtual assistants are highly advanced cloud-based systems. These systems use sophisticated AI algorithms to detect and understand the data input. Post understanding the input these assistants predict better, thus provide better solutions. Over the years these virtual assistants are fast becoming popular. Smart virtual assistants assist in improving communication between patients and healthcare providers, assist in personalized care for patients, and in reducing physician burnout.
Among the various areas of applications, where in artificial intelligence is used medical imaging and diagnostics is expected to dominate the market in terms of market value. However, in terms of growth the telemedicine aspect is projected to show the maximum growth.